Sean J. Taylor

San Francisco, California, United States
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Summary

🤩
Rockstar
Sean Taylor is a data scientist and research-oriented leader with 15 years of experience applying experiments, causal inference, statistics, and economics to product and decision science problems. He has held senior roles at Lyft and Facebook and most recently served as Chief Scientist at Motif Analytics before joining OpenAI, blending academic rigor from a PhD program at NYU Stern with hands-on product impact. Sean contributes to notable open-source projects like Facebook Prophet, improving forecasting tooling and its R ecosystem, reflecting a practical focus on time-series and reproducible analytics. Based in Oakland, he combines quantitative depth with engineering chops dating back to early software roles and work at the Federal Reserve, making him effective at turning causal questions into deployable, testable solutions.
code15 years of coding experience
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Github Skills (7)

forecasting10
forecast10
python10
r10
data-analysis9
machine-learning9
test-automation7

Programming languages (5)

CSSRHTMLJupyter NotebookPython

Github contributions (5)

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facebook/prophet

Feb 2017 - Mar 2021

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Role in this project:
userData Scientist
Contributions:4 releases, 1 review, 28 commits in 4 years 1 month
Contributions summary:Sean contributed to the maintenance and improvement of the Prophet forecasting library. Their work involved refactoring code, updating the software's version numbers, and addressing installation dependencies to enhance user experience. They also worked on testing the Prophet library by splitting the existing test suite into fast and slow parts. In addition, they made updates related to deprecated functions within the R implementation of Prophet.
time-seriesforecastingrpython
seanjtaylor/seanjtaylor.com

May 2020 - Jul 2023

Personal website
Contributions:4 PRs, 19 pushes in 3 years 2 months
reactnextjs
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